Literature DB >> 25821920

Sperm mRNAs and microRNAs as candidate markers for the impact of toxicants on human spermatogenesis: an application to tobacco smoking.

Catherine Metzler-Guillemain1, Genevieve Victorero, Cyrille Lepoivre, Aurélie Bergon, Miriam Yammine, Jeanne Perrin, Irene Sari-Minodier, Nicolas Boulanger, Pascal Rihet, Cathy Nguyen.   

Abstract

Spermatozoa contain a complex population of RNAs including messenger RNAs (mRNAs) and small RNAs such as microRNAs (miRNA). It has been reported that these RNAs can be used to understand the mechanisms by which toxicological exposure affects spermatogenesis. The aim of our study was to compare mRNA and miRNA profiles in spermatozoa from eight smokers and eight non-smokers, and search for potential relationships between mRNA and miRNA variation. All men were selected based on their answers to a standard toxic exposure questionnaire, and sperm parameters. Using mRNA and miRNA microarrays, we showed that mRNAs from 15 genes were differentially represented between smokers and non-smokers (p<0.01): five had higher levels and 10 lower levels in the smokers. For the microRNAs, 23 were differentially represented: 16 were higher and seven lower in the smokers (0.004≤p<0.01). Quantitative RT-PCR confirmed the lower levels in smokers compared to non-smokers for hsa-miR-296-5p, hsa-miR-3940, and hsa-miR-520d-3p. Moreover, we observed an inverse relationship between the levels of microRNAs and six potential target mRNAs (B3GAT3, HNRNPL, OASL, ODZ3, CNGB1, and PKD2). Our results indicate that alterations in the level of a small number of microRNAs in response to smoking may contribute to changes in mRNA expression in smokers. We conclude that large-scale analysis of spermatozoa RNAs can be used to help understand the mechanisms by which human spermatogenesis responds to toxic substances including those in tobacco smoke.

Entities:  

Keywords:  Human; mRNA; miRNA; spermatogenesis; spermatozoa; tobacco

Mesh:

Substances:

Year:  2015        PMID: 25821920     DOI: 10.3109/19396368.2015.1022835

Source DB:  PubMed          Journal:  Syst Biol Reprod Med        ISSN: 1939-6368            Impact factor:   3.061


  8 in total

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Journal:  Crit Rev Toxicol       Date:  2016-06-09       Impact factor: 5.635

Review 3.  Non-coding RNA regulation in reproduction: Their potential use as biomarkers.

Authors:  Vanesa Robles; David G Valcarce; Marta F Riesco
Journal:  Noncoding RNA Res       Date:  2019-05-03

Review 4.  The mutagenic effect of tobacco smoke on male fertility.

Authors:  Temidayo S Omolaoye; Omar El Shahawy; Bongekile T Skosana; Thomas Boillat; Tom Loney; Stefan S du Plessis
Journal:  Environ Sci Pollut Res Int       Date:  2021-09-18       Impact factor: 5.190

5.  Functional SNPs of INCENP Affect Semen Quality by Alternative Splicing Mode and Binding Affinity with the Target Bta-miR-378 in Chinese Holstein Bulls.

Authors:  Juan Liu; Yan Sun; Chunhong Yang; Yan Zhang; Qiang Jiang; Jinming Huang; Zhihua Ju; Xiuge Wang; Jifeng Zhong; Changfa Wang
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Review 6.  Genomic and Bioinformatics Approaches for Analysis of Genes Associated With Cancer Risks Following Exposure to Tobacco Smoking.

Authors:  Mohammed A I Al-Obaide; Buthainah A Ibrahim; Saif Al-Humaish; Abdel-Salam G Abdel-Salam
Journal:  Front Public Health       Date:  2018-03-20

7.  Exposure to childhood abuse is associated with human sperm DNA methylation.

Authors:  Andrea L Roberts; Nicole Gladish; Evan Gatev; Meaghan J Jones; Ying Chen; Julia L MacIsaac; Shelley S Tworoger; S Bryn Austin; Cigdem Tanrikut; Jorge E Chavarro; Andrea A Baccarelli; Michael S Kobor
Journal:  Transl Psychiatry       Date:  2018-10-02       Impact factor: 6.222

8.  Transcriptome Sequencing Reveals the Differentially Expressed lncRNAs and mRNAs Involved in Cryoinjuries in Frozen-Thawed Giant Panda (Ailuropoda melanoleuca) Sperm.

Authors:  Ming-Xia Ran; Yuan Li; Yan Zhang; Kai Liang; Ying-Nan Ren; Ming Zhang; Guang-Bin Zhou; Ying-Min Zhou; Kai Wu; Cheng-Dong Wang; Yan Huang; Bo Luo; Izhar Hyder Qazi; He-Min Zhang; Chang-Jun Zeng
Journal:  Int J Mol Sci       Date:  2018-10-08       Impact factor: 5.923

  8 in total

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